Mylo Max D, Speck Olga
Cluster of Excellence livMatS @ FIT-Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Georges-Köhler-Allee 105, 79110 Freiburg, Germany.
Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Köhler-Allee 103, 79110 Freiburg, Germany.
Biomimetics (Basel). 2023 Apr 21;8(2):173. doi: 10.3390/biomimetics8020173.
Within the framework of a circular economy, we aim to efficiently use raw materials and reduce waste generation. In this context, the longevity of biomimetic material systems can significantly contribute by providing robustness and resilience of system functionality inspired by biological models. The aim of this review is to outline various principles that can lead to an increase in robustness (e.g., safety factor, gradients, reactions to environmental changes) and resilience (e.g., redundancy, self-repair) and to illustrate the principles with meaningful examples. The study focuses on plant material systems with a high potential for transfer to biomimetic applications and on existing biomimetic material systems. Our fundamental concept is based on the functionality of the entire system as a function of time. We use functionality as a dimensionless measure of robustness and resilience to quantify the system function, allowing comparison within biological material systems and biomimetic material systems, but also between them. Together with the enclosed glossary of key terms, the review provides a comprehensive toolbox for interdisciplinary teams. Thus, allowing teams to communicate unambiguously and to draw inspiration from plant models when developing biomimetic material systems with great longevity potential.
在循环经济的框架内,我们旨在高效利用原材料并减少废物产生。在此背景下,仿生材料系统的耐久性可通过提供受生物模型启发的系统功能的稳健性和恢复力做出重大贡献。本综述的目的是概述各种能够提高稳健性(如安全系数、梯度、对环境变化的反应)和恢复力(如冗余、自我修复)的原理,并用有意义的例子对这些原理加以说明。该研究聚焦于具有高仿生应用潜力的植物材料系统以及现有的仿生材料系统。我们的基本概念基于整个系统功能随时间的变化。我们将功能用作衡量稳健性和恢复力的无量纲指标,以量化系统功能,这不仅便于在生物材料系统和仿生材料系统内部进行比较,也便于在两者之间进行比较。连同随附的关键术语词汇表,本综述为跨学科团队提供了一个全面的工具箱。这样,团队在开发具有高耐久性潜力的仿生材料系统时就能进行清晰无误的沟通,并从植物模型中汲取灵感。